摘要
[目的]采用ED-NM-MO三联法对经基线等比增减设计的丹参、三七不同配比的药效学数据进行非线性拟合和多目标优化。[方法]对经基线等比增减设计的丹参、三七不同配比的药效学数据,以心肌缺血程度Σ-ST、心肌缺血程度(缺血区左室)等7个分别反映心肌缺血、心脏状态和血流动力学的指标作为待优化的药效目标,进行非线性拟合和多目标优化。[结果]分别得到针对7个药效指标和6个药效指标(不包含血清中心肌钙蛋白)的Pareto最优配比。[结论]ED-NM-MO三联法是一种适合复方特点的优化方法,可以应用于由多饮片多组分多成分复方药物的剂量配比优化。
[Objective] To optimize the dosage and ratio of danshen（Rasix Salviae Mih orrgizae） and sanehi（Radix Notoginseng） by processing the experimental data with ED-NM-MO Method. [Methods] Aimed at pharmacodynamies indexes, the pharmacodynamic data of the ratio of danshen and sanchi based on baseline geometric proportion increasing and decreasing design were nonlinearity fitted and multi-objective optimized. [Results] Pareto optimal ratio for six and seven pharmacodynamics indexes was individually obtained. [Conclusions] ED-NM-MO Method is suited for the researching of the characters of Chinese medicine, and it can be used for the optimization of dosage and ratio of herb or component compound.
出处
《天津中医药》
CAS
2006年第3期242-247,共6页
Tianjin Journal of Traditional Chinese Medicine
基金
国家重点基础发展规划项目资助(NO.G19990544)。
关键词
ED—NM—MO三联法
丹参
三七配比
基线等比增减设计
非线性拟合
多目标优化
RBF神经网络
进化算法
PAES
PARETO最优解集
直接选择法
归一化加权选择法
ED-NM-MO Method
the ratio of danshen and sanchi
baseline geometric proportion increasing and decreasing design
nonlinear fitting
multi-objective optimization
RBF NN
Evolutionary Program
the Pareto Archived Evolution Strategy（PAES）
Pareto optimal solution set
simple selecting method
normalized weighted selecting method
